A Pyramid Framework for Early Vision - Multiresolutional Computer Vision (Paperback, Softcover reprint of the original 1st ed. 1994)

Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales. A Pyramid Framework for Early Vision describes a multiscale, or 'pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks. A Pyramid Framework for Early Vision is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, 251
Release date:	November 2012
First published:	1994
Authors:	Jean-Michel Jolion • Azriel Rosenfeld
Dimensions:	240 x 160 x 13mm (L x W x T)
Format:	Paperback
Pages:	218
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-1-4613-6207-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-4613-6207-5
Barcode:	9781461362074

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